Predictions / Football / Brazil. Serie B / Criciuma vs Nautico Recife

Prediction Audit: Criciuma vs Nautico Recife Prediction, Odds & AI Betting Tips

Jul 26, 2026 - 19:00
0 2.11
0 0.97
xG Accuracy: 43%

The model missed the final outcome (Draw 0–0).

The model had projected Criciuma at 61.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Criciúma Draw ✖ Incorrect
  • Correct Score Insights 2-0, 2-1, 1-0, 1-1, 3-0 0-0 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Criciuma +4.0 pp

Outcome Model Closing Market Difference Signal
Criciuma 61.1% 57.1% +4.0 pp Aligned
Draw 23.3% 27.3% -4.0 pp Aligned
Nautico Recife 15.6% 15.6% +0.0 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jul 26, 2026 · 20:25 UTC Forecast generated
    • Model 1X2 · Criciuma 61.0% · Draw 23.3% · Nautico Recife 15.6%
    • xG · Criciuma 2.11 — Nautico Recife 0.97
  2. Jul 26, 2026 · 18:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Criciuma 1.68 · Draw 3.51 · Nautico Recife 6.15
    • Implied 1X2 · Criciuma 57.1% · Draw 27.3% · Nautico Recife 15.6%
    • Bookmaker · Pinnacle
  3. Jul 26, 2026 · 19:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Criciuma 1.68 · Draw 3.51 · Nautico Recife 6.15
    • Implied 1X2 · Criciuma 57.1% · Draw 27.3% · Nautico Recife 15.6%
    • Bookmaker · Pinnacle
  4. Jul 26, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 71/100 · High
  • Validation: Pass
  • High xG deviation from league baseline (56%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 80/100
Betting Confidence 74/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:00 UTC Snapshot ID: dp-1454610

Closing Odds 1.68
AI Fair Odds 1.32
CLV Pending
Final Result Draw · Criciuma 0–0 Nautico Recife
Prediction ✖ Missed
Decision Grade F

Probability Calibration

  • Expected: 75.6%
  • Historical Bucket: 75–80% — Building sample

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Campeonato Brasileiro Série B
  • Fixture: Criciúma vs Náutico
  • Kickoff: 2026-07-26 19:00:00
  • 1X2 (model): Home 61.1% · Draw 23.3% · Away 15.6%
  • xG (showing): Criciúma 2.11 — Náutico 0.97 (total xG ≈ 3.08)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 40.6% · Over 2.5 59.5%); BTTS Yes (Yes 55.8% · No 44.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 55.8% · No 44.2%
  • Correct score (top bin): 2-0 (10.2%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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Serie B Serie B — Standings
# TEAM MP W D L PTS
1 Vila Nova 30 16 6 8 54
2 Juventude 30 15 8 7 53
3 Fortaleza EC 30 14 10 6 52
4 Novorizontino 30 14 9 7 51
5 Criciuma 30 14 8 8 50
6 Atletico Goianiense 30 13 10 7 49
7 CRB 30 14 6 10 48
8 Operario-PR 30 13 9 8 48
9 Sport Recife 30 11 11 8 44
10 Cuiaba 30 10 13 7 43
11 Goias 30 12 6 12 42
12 São Bernardo 30 11 9 10 42
13 Athletic Club 30 10 12 8 42
14 Nautico Recife 30 11 8 11 41
15 Ceara 30 9 9 12 36
16 Botafogo SP 29 8 8 13 32
17 Avai 30 8 6 16 30
18 Londrina 30 7 7 16 28
19 America Mineiro 30 4 5 21 17
20 Ponte Preta 29 3 4 22 13
# TEAM MP GS GC +/- PTS
1 Novorizontino 30 49 27 +22 51
2 CRB 30 45 41 +4 48
3 Vila Nova 30 43 31 +12 54
4 Operario-PR 30 43 38 +5 48
5 São Bernardo 30 40 31 +9 42
6 Sport Recife 30 40 32 +8 44
7 Londrina 30 39 43 -4 28
8 Nautico Recife 30 38 37 +1 41
9 Atletico Goianiense 30 37 27 +10 49
10 Athletic Club 30 36 33 +3 42
11 Fortaleza EC 30 35 26 +9 52
12 Ceara 30 33 39 -6 36
13 Juventude 30 32 19 +13 53
14 Botafogo SP 29 32 36 -4 32
15 Criciuma 30 31 27 +4 50
16 Cuiaba 30 30 25 +5 43
17 Goias 30 30 36 -6 42
18 Avai 30 30 41 -11 30
19 America Mineiro 30 21 50 -29 17
20 Ponte Preta 29 17 62 -45 13
# TEAM MP xG xGC +/- PTS
1 Novorizontino 30 17.2 9.2 +8.0 51
2 Fortaleza EC 30 16.8 10.1 +6.7 52
3 Cuiaba 30 12.3 7.0 +5.3 43
4 Atletico Goianiense 30 15.2 11.1 +4.1 49
5 Avai 30 11.9 8.5 +3.4 30
6 Vila Nova 30 13.3 10.1 +3.2 54
7 CRB 30 18.6 15.8 +2.8 48
8 Juventude 30 10.2 8.0 +2.2 53
9 Criciuma 30 10.0 8.1 +1.9 50
10 Sport Recife 30 13.7 12.6 +1.1 44
11 Londrina 30 10.4 9.6 +0.8 28
12 São Bernardo 30 12.6 12.6 0.0 42
13 Botafogo SP 29 13.7 13.8 -0.1 32
14 Nautico Recife 30 15.3 16.1 -0.8 41
15 Goias 30 11.8 13.1 -1.3 42
16 Operario-PR 30 12.8 16.2 -3.4 48
17 Ceara 30 9.1 14.2 -5.1 36
18 America Mineiro 30 11.7 16.9 -5.2 17
19 Athletic Club 30 11.9 19.2 -7.3 42
20 Ponte Preta 29 8.7 24.8 -16.1 13